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Bibliographic Details
Other Authors:	Agarwal, Ramesh K. 1947- (Editor)
Format:	Book
Language:	English
Published:	Chichester, UK Wiley [2016]
Series:	Encyclopedia of aerospace engineering
Subjects:	Meteorology in aeronautics Aeronautics > Safety measures Aircraft accidents > Prevention Aeronautics > Flights Airplanes > Piloting Aeronautics, Commercial Emissionsverringerung Umweltverträglichkeit Flugzeug Nachhaltigkeit Luftfahrzeug Kraftstoffeinsparung Technische Innovation Fliegen Luftfahrzeugtechnik
Links:	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029243065&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029243065&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
Physical Description:	x, 514 Seiten Illustrationen
ISBN:	9781118866351

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MARC


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Record in the Search Index

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adam_text	GREEN AVIATION / : 2016 TABLE OF CONTENTS / INHALTSVERZEICHNIS MICROBURST WIND SHEAR TURBULENCE ICING WAKE VORTICES LIGHTNING DUST DEVILS CONCLUDING REMARKS DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. TABLE OF CONTENTS ABSTRACT (ENGLISH VERSION).................................................................................................................... I ABSTRACT (GERMAN VERSION)................................................................................................................. III ACKNOWLEDGEMENT................................................................................................................................... V DEDICATION.................................................................................................................................................. VI NOMENCLATURE........................................................................................................................................... X ABBREVIATIONS........................................................................................................................................... XI LIST OF FIGURES............................................................................................................................................IX LIST OF TABLES.............................................................................................................................................XII 1 INTRODUCTION......................................................................................................................................1 1.1 BACKGROUND TO THE STU D Y ..............................................................................................................1 1.2 BASIS OF THE PROBLEM SOLUTION MODEL - DRILLING RIG SELECTION ................................................. 4 1.2.1 RIG SELECTION M ETHODS.........................................................................................................6 1.2.2 RIG SELECTION PROCESS........................................................................................................... 7 1.2.3RIG SELECTION CRITERIA........................................................................................................... 8 1.3 PREVIOUS WORKS ON THE USE OF DATABASE MANAGEMENT SYSTEM IN DRILLING SYSTEM DESIGN AND OPERATIONS............................................................................................................................12 1.3.1 DATABASE MANAGEMENT METHODS IN DRILLING SYSTEM DESIGN AND OPERATION ............... 12 1.3.2DATABASE MANAGEMENT APPLICATION IN DRILLING SYSTEM..................................................14 1.4 DISSERTATION OUTLINE................................................................................................................... 15 2 STATE OF THE ART...............................................................................................................................17 2.1 ABSTRACT........................................................................................................................................ 17 2.2 INTRODUCTION................................................................................................................................. 17 2.3 BENEFITS AND LIMITATIONS OF ARTIFICIAL INTELLIGENCE TECHNIQUES .............................................. 19 2.3.1BENEFITS OF ARTIFICIAL INTELLIGENCE TECHNIQUES ................................................................. 19 2.3.2 LIMITATIONS OF ARTIFICIAL INTELLIGENCE TECHNIQUES.............................................................20 2.4 BRANCHES OF ARTIFICIAL INTELLIGENCE TECHNIQUES........................................................................ 20 2.4.1 ARTIFICIAL NEURAL NETWORKS (ANN).....................................................................................20 2.4.2 FUZZY LOGIC (FL)................................................................................................................... 21 2.4.3GENETIC ALGORITHM (GA).....................................................................................................22 2.4.4SUPPORT VECTOR MACHINES (SVM)......................................................................................23 2.4.5CASED BASED REASONING (CBR).......................................................................................... 23 2.4.6 DECISION TREE (DT)..............................................................................................................24 2.4.7 HYBRID SYSTEMS.................................................................................................................... 24 2.5 ARTIFICIAL INTELLIGENCE APPLICATION IN OIL AND GAS INDUSTRY ...................................................... 25 2.6 AI APPLICATIONS IN DRILLING SYSTEM DESIGN AND OPERATIONS ..................................................... 26 2.6.1WELL PLANNING.......................................................................................................................28 2.6.2REAL TIME DRILLING OPTIMIZATION........................................................................................32 2.6.3 WELL INTEGRITY.......................................................................................................................35 2.6.40PERATIONAL TROUBLESHOOTING............................................................................................ 36 2.6.5 PATTERN RECOGNITION............................................................................................................ 38 2.6.6PROCEDURAL DECISION-TAKING................................................................................................40 2.7 CURRENT TECHNOLOGY GAPS OF ARTIFICIAL INTELLIGENCE APPLICATIONS IN DRILLING SYSTEM DESIGN AND O PERATIONS............................................................................................................................ 41 2.8 SUMMARY.......................................................................................................................................42 3 PROBLEM STATEMENT, RESEARCH OBJECTIVES AND TECHNICAL CONTRIBUTIONS ...................................... 43 3.1 STATEMENT OF THE PROBLEM ..........................................................................................................43 3.2 RESEARCH OBJECTIVES.................................................................................................................... 44 3.3 TECHNICAL CONTRIBUTIONS TO KNOWLEDGE..................................................................................... 45 4 DESIGN AND IMPLEMENTATION OF A DATABASE MANAGEMENT SYSTEM (DBMS) FOR DRILLING RIGS SELECTION................................................................................................................................................47 4.1 ABSTRACT.........................................................................................................................................47 THE IMPLEMENTATION OF ROBUST DATABASE MANAGEMENT SYSTEM IS DISCUSSED HERE......................47 4.2 INTRODUCTION.................................................................................................................................. 47 4.2.1 DATA CONCEPT OF THE SYSTEM .............................................................................................. 47 4.2.20NSHORE DRILLING RIGS USED IN THE DATABASE ...................................................................... 47 4.2.3 BROAD RANGE OF APPLICABILITY OF THE DA TA B ASE ..................................................................48 4.2.4CONTENT OF THE D ATABASE.................................................................................................... 48 4.2.5DATABASE STRUCTURE AND DEVELOPM ENT............................................................................. 49 4.2.60PERATIONS OF THE DATABASE MANAGEMENT SYSTEM..........................................................52 4.3 APPLICATION DEVELOPED PACKAGE.................................................................................................52 4.3.1 PROCESS MODULE................................................................................................................... 55 4.3.2SELECTION - DBMS (DATABASE MANAGEMENT SYSTEMS) M ODULE ..................................... 56 4.3.3SEARCH MODULE.................................................................................................................... 57 4.3.4UPDATE MODULE................................................................................................................... 59 4.4 APPLICATION TESTING......................................................................................................................60 5 DRILLING RIG SELECTION USING A NOVEL FUZZY LOGIC M ETHOD................................................................. 61 5.1 ABSTRACT.......................................................................................................................................61 VIII 5.2 INTRODUCTION... .......................61 5.3 EXPERT KNOWLEDGE....................................................................................................................... 63 5.4 IDENTIFICATION AND ESTABLISHMENT OF ATTRIBUTES....................................................................... 64 5.5 FROM EXPERT KNOWLEDGE TO EXPERT SYSTEM..............................................................................65 5.5.1 PARTITIONING THE ATTRIBUTES................................................................................................ 65 5.5.2 DEFINING THE FUZZY SETS....................................................................................................... 66 5.5.3CREATING THE RULES AND EVALUATING THE ATTRIBUTES............................................................67 5.6 SUMMARY......................................................................................................................................68 6 HYBRID COMPUTATIONAL INTELLIGENCE MODEL FOR OPTIMUM DRILLING RIGS SELECTION ........................ 69 6.1 ABSTRACT........................................................................................................................................ 69 6.2 DISTANCE BASED APPROACH M ODEL..............................................................................................69 6.3 FTOPSIS MODEL DISTANCE BASED APPROACH M ODEL...................................................................71 6.4 HYBRID CONCEPTUAL MODEL, DBA-FTOPSIS................................................................................. 77 7 MODEL VALIDATION - RESULTS AND DISCUSSIONS.....................................................................................80 7.1 APPLICATION OF FUZZY LOGIC MODEL FOR GEOTHERMAL FIELD ......................................................... 80 7.1.10UTCOM E QUALITY................................................................................................................81 7.2 HYBRID MODEL FOR AN OIL FIELD DEVELOPMENT.............................................................................82 8 CONCLUSIONS AND FUTURE WORKS.......................................................................................................... 90 8.1 CONCLUSIONS.................................................................................................................................. 90 8.2 FUTURE W ORKS...............................................................................................................................92 REFERENCES................................................................................................................................................... 93 APPENDIX A - SELECTION OF PUBLICATIONS RELATED TO THIS PHD W ORK ........................................................ 99 APPENDIX B - DBMS...................................................................................................................................100 SAMPLE RUN 1:.............................................................................................................................100 SAMPLE RUN 2:.............................................................................................................................100 SAMPLE RUN 3:.............................................................................................................................100 SAMPLE RUN 4:.............................................................................................................................102 APPENDIX C - DBMS...................................................................................................................................103 A.L MINIMUM SYSTEM REQUIREMENTS....................................................................................... 103 A.2 INSTALLATION.......................................................................................................................... 103 APPENDIX D - FUZZY LOGIC M ETHOD...........................................................................................................108 PUBLICATIONS............................................................................................................................................... 113
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series2	Encyclopedia of aerospace engineering
spellingShingle	Green aviation Meteorology in aeronautics Aeronautics Safety measures Aircraft accidents Prevention Aeronautics Flights Airplanes Piloting Aeronautics, Commercial Emissionsverringerung (DE-588)4113432-1 gnd Umweltverträglichkeit (DE-588)4061655-1 gnd Flugzeug (DE-588)4017672-1 gnd Nachhaltigkeit (DE-588)4326464-5 gnd Luftfahrzeug (DE-588)4168246-4 gnd Kraftstoffeinsparung (DE-588)4204820-5 gnd Technische Innovation (DE-588)4431027-4 gnd Fliegen (DE-588)4017529-7 gnd Luftfahrzeugtechnik (DE-588)4036563-3 gnd
subject_GND	(DE-588)4113432-1 (DE-588)4061655-1 (DE-588)4017672-1 (DE-588)4326464-5 (DE-588)4168246-4 (DE-588)4204820-5 (DE-588)4431027-4 (DE-588)4017529-7 (DE-588)4036563-3
title	Green aviation
title_auth	Green aviation
title_exact_search	Green aviation
title_full	Green aviation green aviation editors Ramesh Agarwal (the William Palm Professor for Engineering, Washington University, St Louis, MO, USA), Fayette Collier (NASA Langley Research Center, Hampton, VA, USA), Andreas Schäfer (UCL Energy Institute, London, UK), Allan Seabridge Independent Aerospace Consultant, Lytham St. Annes, UK)
title_fullStr	Green aviation green aviation editors Ramesh Agarwal (the William Palm Professor for Engineering, Washington University, St Louis, MO, USA), Fayette Collier (NASA Langley Research Center, Hampton, VA, USA), Andreas Schäfer (UCL Energy Institute, London, UK), Allan Seabridge Independent Aerospace Consultant, Lytham St. Annes, UK)
title_full_unstemmed	Green aviation green aviation editors Ramesh Agarwal (the William Palm Professor for Engineering, Washington University, St Louis, MO, USA), Fayette Collier (NASA Langley Research Center, Hampton, VA, USA), Andreas Schäfer (UCL Energy Institute, London, UK), Allan Seabridge Independent Aerospace Consultant, Lytham St. Annes, UK)
title_short	Green aviation
title_sort	green aviation
topic	Meteorology in aeronautics Aeronautics Safety measures Aircraft accidents Prevention Aeronautics Flights Airplanes Piloting Aeronautics, Commercial Emissionsverringerung (DE-588)4113432-1 gnd Umweltverträglichkeit (DE-588)4061655-1 gnd Flugzeug (DE-588)4017672-1 gnd Nachhaltigkeit (DE-588)4326464-5 gnd Luftfahrzeug (DE-588)4168246-4 gnd Kraftstoffeinsparung (DE-588)4204820-5 gnd Technische Innovation (DE-588)4431027-4 gnd Fliegen (DE-588)4017529-7 gnd Luftfahrzeugtechnik (DE-588)4036563-3 gnd
topic_facet	Meteorology in aeronautics Aeronautics Safety measures Aircraft accidents Prevention Aeronautics Flights Airplanes Piloting Aeronautics, Commercial Emissionsverringerung Umweltverträglichkeit Flugzeug Nachhaltigkeit Luftfahrzeug Kraftstoffeinsparung Technische Innovation Fliegen Luftfahrzeugtechnik
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029243065&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029243065&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT agarwalrameshk greenaviation

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